/
xla_service.pb.go
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/
xla_service.pb.go
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// Copyright 2018 The TensorFlow Authors. All Rights Reserved.
//
//Licensed under the Apache License, Version 2.0 (the "License");
//you may not use this file except in compliance with the License.
//You may obtain a copy of the License at
//
//http://www.apache.org/licenses/LICENSE-2.0
//
//Unless required by applicable law or agreed to in writing, software
//distributed under the License is distributed on an "AS IS" BASIS,
//WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
//See the License for the specific language governing permissions and
//limitations under the License.
//==============================================================================
// XLA service API.
//
// Users 1) build up computations and 2) create allocations via this API.
// Computations are composed of data flowing between arbitrarily-sized
// vector-oriented operations.
//
// Users build up computations using a ComputationHandle, and talk about
// allocations using GlobalDataHandles.
//
// There are currently no checkpointing capabilities or distribution/replication
// guarantees. The service runs on a single machine (e.g. one task) and that is
// its failure domain.
//
// Canonical example of "alpha * X + Y":
// * Make a computation.
// * Add alpha and X and Y as parameters.
// * Request the multiplication of alpha and X.
// * Request the addition of that result and Y.
//
// Then, pass the computation and appropriately shaped inputs to the XLA
// service's Execute method, which provides a result as a GlobalDataHandle.
//
// All data in XLA computations are conceptually immutable.
//
// Note: this API is subject to change / refinement over time -- use the
// provided client libraries to insulate code from changes to this service API.
// Code generated by protoc-gen-go. DO NOT EDIT.
// versions:
// protoc-gen-go v1.31.0
// protoc (unknown)
// source: tensorflow/compiler/xla/rpc/xla_service.proto
package rpc
import (
xla "github.com/airenas/go-tf-serving-protogen/tensorflow/compiler/xla"
protoreflect "google.golang.org/protobuf/reflect/protoreflect"
protoimpl "google.golang.org/protobuf/runtime/protoimpl"
reflect "reflect"
)
const (
// Verify that this generated code is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(20 - protoimpl.MinVersion)
// Verify that runtime/protoimpl is sufficiently up-to-date.
_ = protoimpl.EnforceVersion(protoimpl.MaxVersion - 20)
)
var File_tensorflow_compiler_xla_rpc_xla_service_proto protoreflect.FileDescriptor
var file_tensorflow_compiler_xla_rpc_xla_service_proto_rawDesc = []byte{
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var file_tensorflow_compiler_xla_rpc_xla_service_proto_goTypes = []interface{}{
(*xla.UnregisterRequest)(nil), // 0: xla.UnregisterRequest
(*xla.DeconstructTupleRequest)(nil), // 1: xla.DeconstructTupleRequest
(*xla.UnpackRequest)(nil), // 2: xla.UnpackRequest
(*xla.GetShapeRequest)(nil), // 3: xla.GetShapeRequest
(*xla.ComputationGraphStatsRequest)(nil), // 4: xla.ComputationGraphStatsRequest
(*xla.LoadDataRequest)(nil), // 5: xla.LoadDataRequest
(*xla.TransferToClientRequest)(nil), // 6: xla.TransferToClientRequest
(*xla.TransferToServerRequest)(nil), // 7: xla.TransferToServerRequest
(*xla.TransferToInfeedRequest)(nil), // 8: xla.TransferToInfeedRequest
(*xla.TransferFromOutfeedRequest)(nil), // 9: xla.TransferFromOutfeedRequest
(*xla.ResetDeviceRequest)(nil), // 10: xla.ResetDeviceRequest
(*xla.ComputeConstantGraphRequest)(nil), // 11: xla.ComputeConstantGraphRequest
(*xla.GetDeviceHandlesRequest)(nil), // 12: xla.GetDeviceHandlesRequest
(*xla.CreateChannelHandleRequest)(nil), // 13: xla.CreateChannelHandleRequest
(*xla.CompileRequest)(nil), // 14: xla.CompileRequest
(*xla.ExecuteRequest)(nil), // 15: xla.ExecuteRequest
(*xla.ExecuteGraphParallelRequest)(nil), // 16: xla.ExecuteGraphParallelRequest
(*xla.WaitForExecutionRequest)(nil), // 17: xla.WaitForExecutionRequest
(*xla.UnregisterResponse)(nil), // 18: xla.UnregisterResponse
(*xla.DeconstructTupleResponse)(nil), // 19: xla.DeconstructTupleResponse
(*xla.UnpackResponse)(nil), // 20: xla.UnpackResponse
(*xla.GetShapeResponse)(nil), // 21: xla.GetShapeResponse
(*xla.ComputationStatsResponse)(nil), // 22: xla.ComputationStatsResponse
(*xla.LoadDataResponse)(nil), // 23: xla.LoadDataResponse
(*xla.TransferToClientResponse)(nil), // 24: xla.TransferToClientResponse
(*xla.TransferToServerResponse)(nil), // 25: xla.TransferToServerResponse
(*xla.TransferToInfeedResponse)(nil), // 26: xla.TransferToInfeedResponse
(*xla.TransferFromOutfeedResponse)(nil), // 27: xla.TransferFromOutfeedResponse
(*xla.ResetDeviceResponse)(nil), // 28: xla.ResetDeviceResponse
(*xla.ComputeConstantResponse)(nil), // 29: xla.ComputeConstantResponse
(*xla.GetDeviceHandlesResponse)(nil), // 30: xla.GetDeviceHandlesResponse
(*xla.CreateChannelHandleResponse)(nil), // 31: xla.CreateChannelHandleResponse
(*xla.CompileResponse)(nil), // 32: xla.CompileResponse
(*xla.ExecuteResponse)(nil), // 33: xla.ExecuteResponse
(*xla.ExecuteParallelResponse)(nil), // 34: xla.ExecuteParallelResponse
(*xla.WaitForExecutionResponse)(nil), // 35: xla.WaitForExecutionResponse
}
var file_tensorflow_compiler_xla_rpc_xla_service_proto_depIdxs = []int32{
0, // 0: xla.XlaService.Unregister:input_type -> xla.UnregisterRequest
1, // 1: xla.XlaService.DeconstructTuple:input_type -> xla.DeconstructTupleRequest
2, // 2: xla.XlaService.Unpack:input_type -> xla.UnpackRequest
3, // 3: xla.XlaService.GetShape:input_type -> xla.GetShapeRequest
4, // 4: xla.XlaService.GetComputationGraphStats:input_type -> xla.ComputationGraphStatsRequest
5, // 5: xla.XlaService.LoadData:input_type -> xla.LoadDataRequest
6, // 6: xla.XlaService.TransferToClient:input_type -> xla.TransferToClientRequest
7, // 7: xla.XlaService.TransferToServer:input_type -> xla.TransferToServerRequest
8, // 8: xla.XlaService.TransferToInfeed:input_type -> xla.TransferToInfeedRequest
9, // 9: xla.XlaService.TransferFromOutfeed:input_type -> xla.TransferFromOutfeedRequest
10, // 10: xla.XlaService.ResetDevice:input_type -> xla.ResetDeviceRequest
11, // 11: xla.XlaService.ComputeConstantGraph:input_type -> xla.ComputeConstantGraphRequest
12, // 12: xla.XlaService.GetDeviceHandles:input_type -> xla.GetDeviceHandlesRequest
13, // 13: xla.XlaService.CreateChannelHandle:input_type -> xla.CreateChannelHandleRequest
14, // 14: xla.XlaService.Compile:input_type -> xla.CompileRequest
15, // 15: xla.XlaService.Execute:input_type -> xla.ExecuteRequest
16, // 16: xla.XlaService.ExecuteGraphParallel:input_type -> xla.ExecuteGraphParallelRequest
17, // 17: xla.XlaService.WaitForExecution:input_type -> xla.WaitForExecutionRequest
18, // 18: xla.XlaService.Unregister:output_type -> xla.UnregisterResponse
19, // 19: xla.XlaService.DeconstructTuple:output_type -> xla.DeconstructTupleResponse
20, // 20: xla.XlaService.Unpack:output_type -> xla.UnpackResponse
21, // 21: xla.XlaService.GetShape:output_type -> xla.GetShapeResponse
22, // 22: xla.XlaService.GetComputationGraphStats:output_type -> xla.ComputationStatsResponse
23, // 23: xla.XlaService.LoadData:output_type -> xla.LoadDataResponse
24, // 24: xla.XlaService.TransferToClient:output_type -> xla.TransferToClientResponse
25, // 25: xla.XlaService.TransferToServer:output_type -> xla.TransferToServerResponse
26, // 26: xla.XlaService.TransferToInfeed:output_type -> xla.TransferToInfeedResponse
27, // 27: xla.XlaService.TransferFromOutfeed:output_type -> xla.TransferFromOutfeedResponse
28, // 28: xla.XlaService.ResetDevice:output_type -> xla.ResetDeviceResponse
29, // 29: xla.XlaService.ComputeConstantGraph:output_type -> xla.ComputeConstantResponse
30, // 30: xla.XlaService.GetDeviceHandles:output_type -> xla.GetDeviceHandlesResponse
31, // 31: xla.XlaService.CreateChannelHandle:output_type -> xla.CreateChannelHandleResponse
32, // 32: xla.XlaService.Compile:output_type -> xla.CompileResponse
33, // 33: xla.XlaService.Execute:output_type -> xla.ExecuteResponse
34, // 34: xla.XlaService.ExecuteGraphParallel:output_type -> xla.ExecuteParallelResponse
35, // 35: xla.XlaService.WaitForExecution:output_type -> xla.WaitForExecutionResponse
18, // [18:36] is the sub-list for method output_type
0, // [0:18] is the sub-list for method input_type
0, // [0:0] is the sub-list for extension type_name
0, // [0:0] is the sub-list for extension extendee
0, // [0:0] is the sub-list for field type_name
}
func init() { file_tensorflow_compiler_xla_rpc_xla_service_proto_init() }
func file_tensorflow_compiler_xla_rpc_xla_service_proto_init() {
if File_tensorflow_compiler_xla_rpc_xla_service_proto != nil {
return
}
type x struct{}
out := protoimpl.TypeBuilder{
File: protoimpl.DescBuilder{
GoPackagePath: reflect.TypeOf(x{}).PkgPath(),
RawDescriptor: file_tensorflow_compiler_xla_rpc_xla_service_proto_rawDesc,
NumEnums: 0,
NumMessages: 0,
NumExtensions: 0,
NumServices: 1,
},
GoTypes: file_tensorflow_compiler_xla_rpc_xla_service_proto_goTypes,
DependencyIndexes: file_tensorflow_compiler_xla_rpc_xla_service_proto_depIdxs,
}.Build()
File_tensorflow_compiler_xla_rpc_xla_service_proto = out.File
file_tensorflow_compiler_xla_rpc_xla_service_proto_rawDesc = nil
file_tensorflow_compiler_xla_rpc_xla_service_proto_goTypes = nil
file_tensorflow_compiler_xla_rpc_xla_service_proto_depIdxs = nil
}